Han‐Fei Ding

7.5k total citations · 2 hit papers
131 papers, 5.6k citations indexed

About

Han‐Fei Ding is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Han‐Fei Ding has authored 131 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 28 papers in Cancer Research and 22 papers in Neurology. Recurrent topics in Han‐Fei Ding's work include Neuroblastoma Research and Treatments (22 papers), Cancer-related Molecular Pathways (15 papers) and Epigenetics and DNA Methylation (15 papers). Han‐Fei Ding is often cited by papers focused on Neuroblastoma Research and Treatments (22 papers), Cancer-related Molecular Pathways (15 papers) and Epigenetics and DNA Methylation (15 papers). Han‐Fei Ding collaborates with scholars based in China, United States and Georgia. Han‐Fei Ding's co-authors include Zheng Dong, David E. Fisher, Hongjuan Cui, Shuang Huang, Chunhong Yan, Jane Ding, Gaël McGill, Junran Zhang, Tai Li and Hongbo Wang and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Han‐Fei Ding

122 papers receiving 5.6k citations

Hit Papers

ATF3 promotes erastin-ind... 2002 2026 2010 2018 2019 2002 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ATF3 promotes erastin-induced ferroptosis by suppressing system Xc–
    2019 611 citations Han‐Fei Ding, Chunhong Yan et al. profile →
  2. Bcl2 Regulation by the Melanocyte Master Regulator Mitf Modulates Lineage Survival and Melanoma Cell Viability
    2002 578 citations Han‐Fei Ding, David E. Fisher et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Han‐Fei Ding 3.5k 1.4k 912 822 713 131 5.6k
Long Jin 3.7k 1.0× 1.5k 1.1× 1.4k 1.6× 1.1k 1.3× 382 0.5× 306 8.7k
Carsten Sticht 4.5k 1.3× 2.7k 1.9× 803 0.9× 587 0.7× 505 0.7× 179 7.6k
Hongbing Zhang 5.6k 1.6× 1.6k 1.1× 1.5k 1.6× 817 1.0× 673 0.9× 197 9.2k
Bo Yan 2.2k 0.6× 1.1k 0.8× 616 0.7× 791 1.0× 296 0.4× 193 4.3k
Khalid Zuberi 3.6k 1.0× 1.0k 0.7× 578 0.6× 869 1.1× 277 0.4× 8 5.4k
Qiang Yu 6.0k 1.7× 1.9k 1.3× 1.9k 2.0× 567 0.7× 651 0.9× 139 8.4k
Hua Han 5.0k 1.4× 1.5k 1.1× 1.1k 1.2× 472 0.6× 562 0.8× 185 7.9k
Jianwei Zhou 4.8k 1.4× 2.4k 1.7× 1.6k 1.8× 592 0.7× 346 0.5× 278 7.0k
José Luís Rosa 3.6k 1.0× 980 0.7× 817 0.9× 243 0.3× 645 0.9× 121 5.3k
Jan Köster 5.6k 1.6× 1.8k 1.3× 2.2k 2.4× 624 0.8× 917 1.3× 190 8.5k

Countries citing papers authored by Han‐Fei Ding

Since Specialization
Citations

This map shows the geographic impact of Han‐Fei Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Han‐Fei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han‐Fei Ding more than expected).

Fields of papers citing papers by Han‐Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Fei Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Han‐Fei Ding. The network helps show where Han‐Fei Ding may publish in the future.

Co-authorship network of co-authors of Han‐Fei Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Fei Ding. A scholar is included among the top collaborators of Han‐Fei Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Han‐Fei Ding. Han‐Fei Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bansal, Mohit, et al.. (2025). DKC1-mediated pseudouridylation of rRNA targets hnRNP A1 to sustain IRES-dependent translation and ATF4-driven metabolic adaptation. Science Advances. 11(35). eadv9401–eadv9401. 2 indexed citations
2.
Meng, Liang, et al.. (2025). Bio-inspired multimodal soft grippers: a review. Bioinspiration & Biomimetics. 20(3). 31002–31002.
3.
4.
Nam, Hyeyoung, Anirban Kundu, Suman Karki, et al.. (2025). HDAC7 promotes renal cancer progression by reprogramming branched-chain amino acid metabolism. Science Advances. 11(23). eadt3552–eadt3552.
5.
Zhang, Jiexin, et al.. (2025). A unified framework for dynamic parameter identification of elastic joint robots with hysteresis and friction nonlinearities. Mechanical Systems and Signal Processing. 238. 113208–113208.
6.
Ding, Han‐Fei, Jiacheng Xu, Zhiguo Ding, et al.. (2024). Identification and validation of UBE2B as a prognostic biomarker promoting the development of esophageal carcinomas. Frontiers in Immunology. 15. 1295305–1295305. 1 indexed citations
7.
Li, Junjin, Hongda Wang, Yilin Pang, et al.. (2024). Novel carbon dots with dual Modulatory effects on the bone marrow and spleen as a potential therapeutic candidate for treating spinal cord injury. Bioactive Materials. 45. 534–550. 3 indexed citations
8.
Li, Siyao, Man J. Livingston, Xiaoru Hu, et al.. (2023). Tubular cell senescence promotes maladaptive kidney repair and chronic kidney disease after cisplatin nephrotoxicity. JCI Insight. 8(8). 60 indexed citations
9.
Tran, Gia‐Buu, Bingwei Ye, Yajie Yu, et al.. (2023). Caffeine Supplementation and FOXM1 Inhibition Enhance the Antitumor Effect of Statins in Neuroblastoma. Cancer Research. 83(13). 2248–2261. 8 indexed citations
10.
11.
Olsen, Thale Kristin, Cecilia Dyberg, Jelena Milosevic, et al.. (2022). DHODH is an independent prognostic marker and potent therapeutic target in neuroblastoma. JCI Insight. 7(17). 21 indexed citations
12.
Tian, Jiaming, et al.. (2022). JQ-1 ameliorates schistosomiasis liver granuloma in mice by suppressing male and female reproductive systems and egg development of Schistosoma japonicum. PLoS neglected tropical diseases. 16(8). e0010661–e0010661. 1 indexed citations
13.
Zhu, Jiaqi, Yi Xu, Huageng Liang, et al.. (2021). Intelligent Soft Surgical Robots for Next‐Generation Minimally Invasive Surgery. Advanced Intelligent Systems. 3(5). 26 indexed citations
14.
Yu, Yajie, Jane Ding, Shunqin Zhu, et al.. (2021). Therapeutic targeting of both dihydroorotate dehydrogenase and nucleoside transport in MYCN-amplified neuroblastoma. Cell Death and Disease. 12(9). 821–821. 22 indexed citations
15.
Xia, Yingfeng, Bingwei Ye, Jane Ding, et al.. (2019). Metabolic Reprogramming by MYCN Confers Dependence on the Serine-Glycine-One-Carbon Biosynthetic Pathway. Cancer Research. 79(15). 3837–3850. 77 indexed citations
16.
Xiao, Xiao, Shixuan Wang, Hua Gao, et al.. (2019). Bif-1 Interacts with Prohibitin-2 to Regulate Mitochondrial Inner Membrane during Cell Stress and Apoptosis. PMC. 1 indexed citations
17.
18.
Wang, Xiangwei, Jeong-Hyeon Choi, Jane Ding, et al.. (2013). HOXC9 directly regulates distinct sets of genes to coordinate diverse cellular processes during neuronal differentiation. BMC Genomics. 14(1). 830–830. 22 indexed citations
19.
Mao, Ling, Jane Ding, Yunhong Zha, et al.. (2011). HOXC9 Links Cell-Cycle Exit and Neuronal Differentiation and Is a Prognostic Marker in Neuroblastoma. Cancer Research. 71(12). 4314–4324. 58 indexed citations
20.
Ding, Han‐Fei & David E. Fisher. (2002). Induction of apoptosis in cancer: new therapeutic opportunities. Annals of Medicine. 34(6). 451–469. 38 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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